Zhang Kun, Yuan Yishuang, Chen Jingying, Wang Guangshuai, Chen Qian, Luo Meijuan
National Engineering Research Center for E-Learning, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
National Engineering Laboratory for Educational Big Data, Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan 430079, China.
Brain Sci. 2022 Feb 18;12(2):283. doi: 10.3390/brainsci12020283.
Facial expression processing mainly depends on whether the facial features related to expressions can be fully acquired, and whether the appropriate processing strategies can be adopted according to different conditions. Children with autism spectrum disorder (ASD) have difficulty accurately recognizing facial expressions and responding appropriately, which is regarded as an important cause of their social disorders. This study used eye tracking technology to explore the internal processing mechanism of facial expressions in children with ASD under the influence of spatial frequency and inversion effects for improving their social disorders. The facial expression recognition rate and eye tracking characteristics of children with ASD and typical developing (TD) children on the facial area of interest were recorded and analyzed. The multi-factor mixed experiment results showed that the facial expression recognition rate of children with ASD under various conditions was significantly lower than that of TD children. TD children had more visual attention to the eyes area. However, children with ASD preferred the features of the mouth area, and lacked visual attention and processing of the eyes area. When the face was inverted, TD children had the inversion effect under all three spatial frequency conditions, which was manifested as a significant decrease in expression recognition rate. However, children with ASD only had the inversion effect under the LSF condition, indicating that they mainly used a featural processing method and had the capacity of configural processing under the LSF condition. The eye tracking results showed that when the face was inverted or facial feature information was weakened, both children with ASD and TD children would adjust their facial expression processing strategies accordingly, to increase the visual attention and information processing of their preferred areas. The fixation counts and fixation duration of TD children on the eyes area increased significantly, while the fixation duration of children with ASD on the mouth area increased significantly. The results of this study provided theoretical and practical support for facial expression intervention in children with ASD.
面部表情处理主要取决于与表情相关的面部特征能否被充分获取,以及能否根据不同情况采用适当的处理策略。自闭症谱系障碍(ASD)儿童在准确识别面部表情并做出适当反应方面存在困难,这被认为是他们社交障碍的一个重要原因。本研究采用眼动追踪技术,探讨空间频率和倒置效应影响下ASD儿童面部表情的内部处理机制,以改善他们的社交障碍。记录并分析了ASD儿童和典型发育(TD)儿童在面部感兴趣区域的面部表情识别率和眼动追踪特征。多因素混合实验结果表明,ASD儿童在各种条件下的面部表情识别率均显著低于TD儿童。TD儿童对眼睛区域有更多的视觉关注。然而,ASD儿童更喜欢嘴部区域的特征,并且缺乏对眼睛区域的视觉关注和处理。当面部倒置时,TD儿童在所有三种空间频率条件下都有倒置效应,表现为表情识别率显著下降。然而,ASD儿童仅在低频空间频率(LSF)条件下有倒置效应,这表明他们主要采用特征处理方法,并且在LSF条件下具有整体处理能力。眼动追踪结果表明,当面部倒置或面部特征信息减弱时,ASD儿童和TD儿童都会相应地调整他们的面部表情处理策略,以增加对他们偏好区域的视觉关注和信息处理。TD儿童在眼睛区域的注视次数和注视持续时间显著增加,而ASD儿童在嘴部区域的注视持续时间显著增加。本研究结果为ASD儿童的面部表情干预提供了理论和实践支持。